Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics
With the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact serv...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/9301420 |
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| _version_ | 1832556608275611648 |
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| author | Jing Geng Shuliang Wang Wenxia Gan Hanning Yuan Zeqiang Chen Ziqiang Yuan Tianru Dai |
| author_facet | Jing Geng Shuliang Wang Wenxia Gan Hanning Yuan Zeqiang Chen Ziqiang Yuan Tianru Dai |
| author_sort | Jing Geng |
| collection | DOAJ |
| description | With the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact service in geospatial issues. In this paper, a novel method is proposed to promote the geospatial service from information to knowledge with spatiotemporal semantics. Both prompted and professional knowledge are further refined to be published as a service. In terms of an exact task, numerous related services are recombined to a service chain under user requirement. Finally, the proposed method is applied to monitor the environment on the Air Quality Index (AQI) and soil moisture (SM) in the Sensor Web service platform, the results of which indicate geospatial knowledge service (GKS) is more efficient to support spatial decision-making. |
| format | Article |
| id | doaj-art-5633a0934c7048769fd6db435aa6a591 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5633a0934c7048769fd6db435aa6a5912025-02-03T05:44:50ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/93014209301420Promoting Geospatial Service from Information to Knowledge with Spatiotemporal SemanticsJing Geng0Shuliang Wang1Wenxia Gan2Hanning Yuan3Zeqiang Chen4Ziqiang Yuan5Tianru Dai6School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaWith the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact service in geospatial issues. In this paper, a novel method is proposed to promote the geospatial service from information to knowledge with spatiotemporal semantics. Both prompted and professional knowledge are further refined to be published as a service. In terms of an exact task, numerous related services are recombined to a service chain under user requirement. Finally, the proposed method is applied to monitor the environment on the Air Quality Index (AQI) and soil moisture (SM) in the Sensor Web service platform, the results of which indicate geospatial knowledge service (GKS) is more efficient to support spatial decision-making.http://dx.doi.org/10.1155/2019/9301420 |
| spellingShingle | Jing Geng Shuliang Wang Wenxia Gan Hanning Yuan Zeqiang Chen Ziqiang Yuan Tianru Dai Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics Complexity |
| title | Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics |
| title_full | Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics |
| title_fullStr | Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics |
| title_full_unstemmed | Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics |
| title_short | Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics |
| title_sort | promoting geospatial service from information to knowledge with spatiotemporal semantics |
| url | http://dx.doi.org/10.1155/2019/9301420 |
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